Overview

Dataset statistics

Number of variables56
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory46.9 KiB
Average record size in memory449.2 B

Variable types

DateTime1
Numeric28
Unsupported25
Categorical2

Alerts

0_to_14_years_of_age is highly overall correlated with 15_to_29_years_of_age and 25 other fieldsHigh correlation
15_to_29_years_of_age is highly overall correlated with 0_to_14_years_of_age and 26 other fieldsHigh correlation
30_to_44_years_of age is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
45_to_59 years_of_age is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
60_to_74 years_of age is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
75 years of age and above is highly overall correlated with 0_to_14_years_of_age and 24 other fieldsHigh correlation
Afghanistan is highly overall correlated with 0_to_14_years_of_age and 23 other fieldsHigh correlation
Airport is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
Alberta is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
Another_gender is highly overall correlated with 15_to_29_years_of_age and 7 other fieldsHigh correlation
Bangladesh is highly overall correlated with 0_to_14_years_of_age and 27 other fieldsHigh correlation
Border is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
British_Columbia is highly overall correlated with 0_to_14_years_of_age and 26 other fieldsHigh correlation
China_people's_Republic_of is highly overall correlated with Bangladesh and 3 other fieldsHigh correlation
Colombia is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Female is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Gender_not_stated is highly overall correlated with 30_to_44_years_of age and 8 other fieldsHigh correlation
Haiti is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
India is highly overall correlated with 0_to_14_years_of_age and 24 other fieldsHigh correlation
Inland is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Iran is highly overall correlated with 0_to_14_years_of_age and 23 other fieldsHigh correlation
Male is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Mexico is highly overall correlated with 0_to_14_years_of_age and 24 other fieldsHigh correlation
Nigeria is highly overall correlated with 0_to_14_years_of_age and 21 other fieldsHigh correlation
Ontario is highly overall correlated with 0_to_14_years_of_age and 26 other fieldsHigh correlation
Other_Countries is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Pakistan is highly overall correlated with 0_to_14_years_of_age and 26 other fieldsHigh correlation
Quebec is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Sri_Lanka is highly overall correlated with 0_to_14_years_of_age and 23 other fieldsHigh correlation
Turkey is highly overall correlated with 0_to_14_years_of_age and 25 other fieldsHigh correlation
Gender_not_stated is highly imbalanced (86.7%)Imbalance
Another_gender is highly imbalanced (92.4%)Imbalance
Month_Year has unique valuesUnique
Other_Offices is an unsupported type, check if it needs cleaning or further analysisUnsupported
Newfoundland_and_Labrador is an unsupported type, check if it needs cleaning or further analysisUnsupported
Prince_Edward_Island is an unsupported type, check if it needs cleaning or further analysisUnsupported
Nova_Scotia is an unsupported type, check if it needs cleaning or further analysisUnsupported
New_Brunswick is an unsupported type, check if it needs cleaning or further analysisUnsupported
Manitoba is an unsupported type, check if it needs cleaning or further analysisUnsupported
Saskatchewan is an unsupported type, check if it needs cleaning or further analysisUnsupported
Yukon is an unsupported type, check if it needs cleaning or further analysisUnsupported
Northwest_Territories is an unsupported type, check if it needs cleaning or further analysisUnsupported
Nunavut is an unsupported type, check if it needs cleaning or further analysisUnsupported
Outside_Canada is an unsupported type, check if it needs cleaning or further analysisUnsupported
Kenya is an unsupported type, check if it needs cleaning or further analysisUnsupported
Uganda is an unsupported type, check if it needs cleaning or further analysisUnsupported
Congo_ Democratic_Republic_of_the is an unsupported type, check if it needs cleaning or further analysisUnsupported
Ghana is an unsupported type, check if it needs cleaning or further analysisUnsupported
Rwanda is an unsupported type, check if it needs cleaning or further analysisUnsupported
Romania is an unsupported type, check if it needs cleaning or further analysisUnsupported
Ethiopia is an unsupported type, check if it needs cleaning or further analysisUnsupported
Cameroon_Federal Republic of is an unsupported type, check if it needs cleaning or further analysisUnsupported
Chad_Republic of is an unsupported type, check if it needs cleaning or further analysisUnsupported
Burundi is an unsupported type, check if it needs cleaning or further analysisUnsupported
Algeria is an unsupported type, check if it needs cleaning or further analysisUnsupported
Senegal is an unsupported type, check if it needs cleaning or further analysisUnsupported
Syria is an unsupported type, check if it needs cleaning or further analysisUnsupported
Age not stated is an unsupported type, check if it needs cleaning or further analysisUnsupported
75 years of age and above has 3 (2.8%) zerosZeros

Reproduction

Analysis started2024-02-03 15:31:50.701386
Analysis finished2024-02-03 15:35:32.423051
Duration3 minutes and 41.72 seconds
Software versionydata-profiling vv4.6.4
Download configurationconfig.json

Variables

Month_Year
Date

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size984.0 B
Minimum2015-01-01 00:00:00
Maximum2023-11-01 00:00:00
2024-02-03T15:35:32.591238image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:32.890198image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Airport
Real number (ℝ)

HIGH CORRELATION 

Distinct90
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean782.8972
Minimum5
Maximum5575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:33.187981image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile31.5
Q1205
median440
Q3755
95-th percentile3135
Maximum5575
Range5570
Interquartile range (IQR)550

Descriptive statistics

Standard deviation1094.6652
Coefficient of variation (CV)1.3982235
Kurtosis8.0999444
Mean782.8972
Median Absolute Deviation (MAD)270
Skewness2.7806127
Sum83770
Variance1198292
MonotonicityNot monotonic
2024-02-03T15:35:33.488795image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 3
 
2.8%
45 2
 
1.9%
550 2
 
1.9%
5 2
 
1.9%
70 2
 
1.9%
410 2
 
1.9%
255 2
 
1.9%
285 2
 
1.9%
270 2
 
1.9%
170 2
 
1.9%
Other values (80) 86
80.4%
ValueCountFrequency (%)
5 2
1.9%
15 1
0.9%
25 2
1.9%
30 1
0.9%
35 1
0.9%
40 1
0.9%
45 2
1.9%
50 1
0.9%
55 2
1.9%
70 2
1.9%
ValueCountFrequency (%)
5575 1
0.9%
5435 1
0.9%
4805 1
0.9%
4350 1
0.9%
4010 1
0.9%
3300 1
0.9%
2750 1
0.9%
2285 1
0.9%
2105 1
0.9%
2100 1
0.9%

Border
Real number (ℝ)

HIGH CORRELATION 

Distinct99
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1426.4019
Minimum35
Maximum5510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:33.800547image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile231.5
Q1412.5
median1045
Q31915
95-th percentile4322.5
Maximum5510
Range5475
Interquartile range (IQR)1502.5

Descriptive statistics

Standard deviation1313.9597
Coefficient of variation (CV)0.92117074
Kurtosis1.5458691
Mean1426.4019
Median Absolute Deviation (MAD)660
Skewness1.4610543
Sum152625
Variance1726490
MonotonicityNot monotonic
2024-02-03T15:35:34.093352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
240 5
 
4.7%
250 3
 
2.8%
1595 2
 
1.9%
230 2
 
1.9%
1830 1
 
0.9%
620 1
 
0.9%
375 1
 
0.9%
275 1
 
0.9%
190 1
 
0.9%
235 1
 
0.9%
Other values (89) 89
83.2%
ValueCountFrequency (%)
35 1
 
0.9%
145 1
 
0.9%
180 1
 
0.9%
190 1
 
0.9%
230 2
 
1.9%
235 1
 
0.9%
240 5
4.7%
250 3
2.8%
260 1
 
0.9%
275 1
 
0.9%
ValueCountFrequency (%)
5510 1
0.9%
5430 1
0.9%
5045 1
0.9%
4980 1
0.9%
4505 1
0.9%
4330 1
0.9%
4305 1
0.9%
4255 1
0.9%
4185 1
0.9%
3900 1
0.9%

Inland
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2259.5794
Minimum640
Maximum10075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:34.395387image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum640
5-th percentile713
Q1957.5
median1835
Q32970
95-th percentile5816.5
Maximum10075
Range9435
Interquartile range (IQR)2012.5

Descriptive statistics

Standard deviation1779.4242
Coefficient of variation (CV)0.78750239
Kurtosis6.2353309
Mean2259.5794
Median Absolute Deviation (MAD)910
Skewness2.263334
Sum241775
Variance3166350.5
MonotonicityNot monotonic
2024-02-03T15:35:34.702552image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1030 3
 
2.8%
845 2
 
1.9%
640 2
 
1.9%
775 2
 
1.9%
1450 2
 
1.9%
945 2
 
1.9%
1160 2
 
1.9%
940 2
 
1.9%
925 1
 
0.9%
1740 1
 
0.9%
Other values (88) 88
82.2%
ValueCountFrequency (%)
640 2
1.9%
660 1
0.9%
690 1
0.9%
700 1
0.9%
710 1
0.9%
720 1
0.9%
740 1
0.9%
750 1
0.9%
775 2
1.9%
800 1
0.9%
ValueCountFrequency (%)
10075 1
0.9%
9345 1
0.9%
7830 1
0.9%
7720 1
0.9%
7505 1
0.9%
6175 1
0.9%
4980 1
0.9%
4400 1
0.9%
3940 1
0.9%
3850 1
0.9%

Other_Offices
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Newfoundland_and_Labrador
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Prince_Edward_Island
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Nova_Scotia
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

New_Brunswick
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Quebec
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2176.8692
Minimum180
Maximum7170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:35.021627image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum180
5-th percentile257.5
Q1377.5
median1905
Q33167.5
95-th percentile6183.5
Maximum7170
Range6990
Interquartile range (IQR)2790

Descriptive statistics

Standard deviation1976.8515
Coefficient of variation (CV)0.90811681
Kurtosis-0.15335063
Mean2176.8692
Median Absolute Deviation (MAD)1480
Skewness0.92045541
Sum232925
Variance3907941.8
MonotonicityNot monotonic
2024-02-03T15:35:35.331421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315 3
 
2.8%
340 3
 
2.8%
285 2
 
1.9%
295 2
 
1.9%
2590 2
 
1.9%
2640 2
 
1.9%
310 2
 
1.9%
2545 2
 
1.9%
505 1
 
0.9%
365 1
 
0.9%
Other values (87) 87
81.3%
ValueCountFrequency (%)
180 1
0.9%
195 1
0.9%
200 1
0.9%
205 1
0.9%
210 1
0.9%
250 1
0.9%
275 1
0.9%
280 1
0.9%
285 2
1.9%
290 1
0.9%
ValueCountFrequency (%)
7170 1
0.9%
6950 1
0.9%
6775 1
0.9%
6495 1
0.9%
6445 1
0.9%
6245 1
0.9%
6040 1
0.9%
6030 1
0.9%
5965 1
0.9%
5940 1
0.9%

Ontario
Real number (ℝ)

HIGH CORRELATION 

Distinct100
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1849.1589
Minimum380
Maximum8355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:35.646212image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum380
5-th percentile625
Q11020
median1575
Q32132.5
95-th percentile4782
Maximum8355
Range7975
Interquartile range (IQR)1112.5

Descriptive statistics

Standard deviation1390.6734
Coefficient of variation (CV)0.75205726
Kurtosis8.4995065
Mean1849.1589
Median Absolute Deviation (MAD)565
Skewness2.6584869
Sum197860
Variance1933972.4
MonotonicityNot monotonic
2024-02-03T15:35:35.974067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1555 2
 
1.9%
1745 2
 
1.9%
635 2
 
1.9%
1090 2
 
1.9%
625 2
 
1.9%
705 2
 
1.9%
1310 2
 
1.9%
875 1
 
0.9%
565 1
 
0.9%
685 1
 
0.9%
Other values (90) 90
84.1%
ValueCountFrequency (%)
380 1
0.9%
490 1
0.9%
565 1
0.9%
605 1
0.9%
615 1
0.9%
625 2
1.9%
635 2
1.9%
640 1
0.9%
655 1
0.9%
665 1
0.9%
ValueCountFrequency (%)
8355 1
0.9%
7795 1
0.9%
6845 1
0.9%
6010 1
0.9%
5510 1
0.9%
4965 1
0.9%
4355 1
0.9%
3265 1
0.9%
3050 1
0.9%
2985 1
0.9%

Manitoba
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Saskatchewan
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Alberta
Real number (ℝ)

HIGH CORRELATION 

Distinct44
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.4486
Minimum40
Maximum900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:36.305414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile45
Q170
median115
Q3155
95-th percentile375
Maximum900
Range860
Interquartile range (IQR)85

Descriptive statistics

Standard deviation149.74823
Coefficient of variation (CV)1.022531
Kurtosis14.049155
Mean146.4486
Median Absolute Deviation (MAD)45
Skewness3.5945367
Sum15670
Variance22424.533
MonotonicityNot monotonic
2024-02-03T15:35:36.587738image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
45 6
 
5.6%
50 6
 
5.6%
70 6
 
5.6%
145 6
 
5.6%
65 4
 
3.7%
80 4
 
3.7%
135 4
 
3.7%
60 4
 
3.7%
55 4
 
3.7%
120 4
 
3.7%
Other values (34) 59
55.1%
ValueCountFrequency (%)
40 1
 
0.9%
45 6
5.6%
50 6
5.6%
55 4
3.7%
60 4
3.7%
65 4
3.7%
70 6
5.6%
75 1
 
0.9%
80 4
3.7%
85 3
2.8%
ValueCountFrequency (%)
900 1
0.9%
880 1
0.9%
755 1
0.9%
695 1
0.9%
495 1
0.9%
420 1
0.9%
270 1
0.9%
250 2
1.9%
245 1
0.9%
235 1
0.9%

British_Columbia
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.99065
Minimum50
Maximum915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:36.930277image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile60
Q1130
median185
Q3300
95-th percentile558.5
Maximum915
Range865
Interquartile range (IQR)170

Descriptive statistics

Standard deviation168.68087
Coefficient of variation (CV)0.70877098
Kurtosis3.419736
Mean237.99065
Median Absolute Deviation (MAD)80
Skewness1.7324549
Sum25465
Variance28453.236
MonotonicityNot monotonic
2024-02-03T15:35:37.422728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 5
 
4.7%
105 4
 
3.7%
85 4
 
3.7%
145 4
 
3.7%
185 4
 
3.7%
240 4
 
3.7%
160 3
 
2.8%
310 3
 
2.8%
60 3
 
2.8%
115 3
 
2.8%
Other values (53) 70
65.4%
ValueCountFrequency (%)
50 2
1.9%
55 2
1.9%
60 3
2.8%
65 1
 
0.9%
80 2
1.9%
85 4
3.7%
90 1
 
0.9%
95 1
 
0.9%
105 4
3.7%
110 1
 
0.9%
ValueCountFrequency (%)
915 1
0.9%
815 1
0.9%
760 1
0.9%
710 1
0.9%
595 1
0.9%
560 1
0.9%
555 1
0.9%
530 1
0.9%
505 1
0.9%
500 1
0.9%

Yukon
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Northwest_Territories
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Nunavut
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Outside_Canada
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Mexico
Real number (ℝ)

HIGH CORRELATION 

Distinct74
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean526.72897
Minimum5
Maximum2495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:37.817523image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q195
median190
Q3635
95-th percentile2071
Maximum2495
Range2490
Interquartile range (IQR)540

Descriptive statistics

Standard deviation687.27796
Coefficient of variation (CV)1.3048038
Kurtosis1.2594855
Mean526.72897
Median Absolute Deviation (MAD)180
Skewness1.5754285
Sum56360
Variance472350.99
MonotonicityNot monotonic
2024-02-03T15:35:38.173765image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 8
 
7.5%
10 8
 
7.5%
145 4
 
3.7%
15 4
 
3.7%
155 3
 
2.8%
95 3
 
2.8%
370 2
 
1.9%
115 2
 
1.9%
150 2
 
1.9%
190 2
 
1.9%
Other values (64) 69
64.5%
ValueCountFrequency (%)
5 8
7.5%
10 8
7.5%
15 4
3.7%
25 1
 
0.9%
30 1
 
0.9%
40 1
 
0.9%
75 1
 
0.9%
80 1
 
0.9%
95 3
 
2.8%
100 2
 
1.9%
ValueCountFrequency (%)
2495 1
0.9%
2425 1
0.9%
2410 1
0.9%
2290 1
0.9%
2115 1
0.9%
2080 1
0.9%
2050 1
0.9%
2040 1
0.9%
1965 1
0.9%
1945 1
0.9%

Nigeria
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean300.18692
Minimum10
Maximum1945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:38.648660image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q167.5
median165
Q3342.5
95-th percentile1081
Maximum1945
Range1935
Interquartile range (IQR)275

Descriptive statistics

Standard deviation377.96371
Coefficient of variation (CV)1.2590946
Kurtosis6.8153667
Mean300.18692
Median Absolute Deviation (MAD)120
Skewness2.4817711
Sum32120
Variance142856.57
MonotonicityNot monotonic
2024-02-03T15:35:39.179394image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 7
 
6.5%
25 6
 
5.6%
65 4
 
3.7%
235 4
 
3.7%
115 4
 
3.7%
100 3
 
2.8%
240 2
 
1.9%
125 2
 
1.9%
90 2
 
1.9%
15 2
 
1.9%
Other values (63) 71
66.4%
ValueCountFrequency (%)
10 1
 
0.9%
15 2
 
1.9%
20 7
6.5%
25 6
5.6%
30 1
 
0.9%
40 1
 
0.9%
45 1
 
0.9%
50 2
 
1.9%
55 1
 
0.9%
60 1
 
0.9%
ValueCountFrequency (%)
1945 1
0.9%
1875 1
0.9%
1695 1
0.9%
1275 1
0.9%
1210 1
0.9%
1135 1
0.9%
955 1
0.9%
935 1
0.9%
910 1
0.9%
895 1
0.9%

India
Real number (ℝ)

HIGH CORRELATION 

Distinct73
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.97196
Minimum10
Maximum1320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:39.634445image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile30
Q175
median210
Q3452.5
95-th percentile823.5
Maximum1320
Range1310
Interquartile range (IQR)377.5

Descriptive statistics

Standard deviation285.62802
Coefficient of variation (CV)0.93965253
Kurtosis1.6146487
Mean303.97196
Median Absolute Deviation (MAD)160
Skewness1.3393292
Sum32525
Variance81583.367
MonotonicityNot monotonic
2024-02-03T15:35:39.945543image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 5
 
4.7%
30 4
 
3.7%
50 4
 
3.7%
105 4
 
3.7%
140 3
 
2.8%
150 3
 
2.8%
270 3
 
2.8%
120 3
 
2.8%
205 2
 
1.9%
110 2
 
1.9%
Other values (63) 74
69.2%
ValueCountFrequency (%)
10 1
 
0.9%
15 1
 
0.9%
20 2
 
1.9%
25 1
 
0.9%
30 4
3.7%
35 1
 
0.9%
40 2
 
1.9%
45 5
4.7%
50 4
3.7%
55 2
 
1.9%
ValueCountFrequency (%)
1320 1
0.9%
1220 1
0.9%
1110 1
0.9%
1000 1
0.9%
905 1
0.9%
825 1
0.9%
820 1
0.9%
790 1
0.9%
780 1
0.9%
745 1
0.9%

Bangladesh
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.46729
Minimum5
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:40.254243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q120
median45
Q370
95-th percentile218.5
Maximum850
Range845
Interquartile range (IQR)50

Descriptive statistics

Standard deviation111.90784
Coefficient of variation (CV)1.5880821
Kurtosis26.711857
Mean70.46729
Median Absolute Deviation (MAD)25
Skewness4.7502919
Sum7540
Variance12523.364
MonotonicityNot monotonic
2024-02-03T15:35:42.021824image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
15 15
14.0%
25 9
 
8.4%
20 7
 
6.5%
70 7
 
6.5%
30 6
 
5.6%
10 6
 
5.6%
45 6
 
5.6%
60 6
 
5.6%
95 6
 
5.6%
55 5
 
4.7%
Other values (20) 34
31.8%
ValueCountFrequency (%)
5 2
 
1.9%
10 6
 
5.6%
15 15
14.0%
20 7
6.5%
25 9
8.4%
30 6
 
5.6%
35 2
 
1.9%
40 3
 
2.8%
45 6
 
5.6%
50 5
 
4.7%
ValueCountFrequency (%)
850 1
0.9%
590 1
0.9%
420 1
0.9%
360 1
0.9%
300 1
0.9%
235 1
0.9%
180 1
0.9%
130 1
0.9%
120 1
0.9%
115 2
1.9%

Kenya
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Uganda
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Pakistan
Real number (ℝ)

HIGH CORRELATION 

Distinct55
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163.78505
Minimum10
Maximum635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:42.311842image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile25
Q175
median140
Q3210
95-th percentile340
Maximum635
Range625
Interquartile range (IQR)135

Descriptive statistics

Standard deviation129.04738
Coefficient of variation (CV)0.78790699
Kurtosis4.1701277
Mean163.78505
Median Absolute Deviation (MAD)65
Skewness1.832531
Sum17525
Variance16653.227
MonotonicityNot monotonic
2024-02-03T15:35:42.622865image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105 5
 
4.7%
140 5
 
4.7%
130 4
 
3.7%
25 4
 
3.7%
160 4
 
3.7%
180 4
 
3.7%
50 3
 
2.8%
340 3
 
2.8%
235 3
 
2.8%
165 3
 
2.8%
Other values (45) 69
64.5%
ValueCountFrequency (%)
10 1
 
0.9%
15 1
 
0.9%
20 2
1.9%
25 4
3.7%
30 2
1.9%
35 1
 
0.9%
40 2
1.9%
45 2
1.9%
50 3
2.8%
55 2
1.9%
ValueCountFrequency (%)
635 1
 
0.9%
625 2
1.9%
570 1
 
0.9%
545 1
 
0.9%
340 3
2.8%
330 1
 
0.9%
325 1
 
0.9%
310 1
 
0.9%
305 2
1.9%
280 1
 
0.9%

Iran
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.69159
Minimum5
Maximum685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:42.934680image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q142.5
median135
Q3385
95-th percentile550
Maximum685
Range680
Interquartile range (IQR)342.5

Descriptive statistics

Standard deviation196.56044
Coefficient of variation (CV)0.87871182
Kurtosis-1.1173694
Mean223.69159
Median Absolute Deviation (MAD)120
Skewness0.53155999
Sum23935
Variance38636.008
MonotonicityNot monotonic
2024-02-03T15:35:43.250648image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 6
 
5.6%
10 5
 
4.7%
110 5
 
4.7%
25 4
 
3.7%
30 4
 
3.7%
20 3
 
2.8%
45 3
 
2.8%
355 3
 
2.8%
70 3
 
2.8%
505 3
 
2.8%
Other values (53) 68
63.6%
ValueCountFrequency (%)
5 2
 
1.9%
10 5
4.7%
15 6
5.6%
20 3
2.8%
25 4
3.7%
30 4
3.7%
35 1
 
0.9%
40 2
 
1.9%
45 3
2.8%
55 1
 
0.9%
ValueCountFrequency (%)
685 1
 
0.9%
650 1
 
0.9%
610 1
 
0.9%
590 1
 
0.9%
575 1
 
0.9%
550 2
1.9%
530 1
 
0.9%
515 1
 
0.9%
505 3
2.8%
495 1
 
0.9%

Congo_ Democratic_Republic_of_the
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Haiti
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)61.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.64486
Minimum10
Maximum3985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:43.581055image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile21.5
Q147.5
median100
Q3280
95-th percentile1013.5
Maximum3985
Range3975
Interquartile range (IQR)232.5

Descriptive statistics

Standard deviation490.52512
Coefficient of variation (CV)1.6994071
Kurtosis30.306721
Mean288.64486
Median Absolute Deviation (MAD)65
Skewness4.6207375
Sum30885
Variance240614.89
MonotonicityNot monotonic
2024-02-03T15:35:43.892207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 10
 
9.3%
55 5
 
4.7%
40 4
 
3.7%
50 4
 
3.7%
100 4
 
3.7%
30 3
 
2.8%
60 3
 
2.8%
15 3
 
2.8%
80 3
 
2.8%
65 3
 
2.8%
Other values (56) 65
60.7%
ValueCountFrequency (%)
10 1
 
0.9%
15 3
 
2.8%
20 2
 
1.9%
25 2
 
1.9%
30 3
 
2.8%
35 10
9.3%
40 4
 
3.7%
45 2
 
1.9%
50 4
 
3.7%
55 5
4.7%
ValueCountFrequency (%)
3985 1
0.9%
1615 1
0.9%
1365 1
0.9%
1165 1
0.9%
1035 1
0.9%
1015 1
0.9%
1010 1
0.9%
935 1
0.9%
920 1
0.9%
900 1
0.9%

Colombia
Real number (ℝ)

HIGH CORRELATION 

Distinct62
Distinct (%)57.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239.39252
Minimum20
Maximum945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:44.236776image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile43
Q175
median150
Q3312.5
95-th percentile818.5
Maximum945
Range925
Interquartile range (IQR)237.5

Descriptive statistics

Standard deviation226.32389
Coefficient of variation (CV)0.9454092
Kurtosis1.877789
Mean239.39252
Median Absolute Deviation (MAD)90
Skewness1.596068
Sum25615
Variance51222.505
MonotonicityNot monotonic
2024-02-03T15:35:44.536577image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 6
 
5.6%
50 5
 
4.7%
110 5
 
4.7%
55 5
 
4.7%
85 3
 
2.8%
225 3
 
2.8%
310 3
 
2.8%
145 3
 
2.8%
315 3
 
2.8%
75 3
 
2.8%
Other values (52) 68
63.6%
ValueCountFrequency (%)
20 1
 
0.9%
25 1
 
0.9%
35 2
 
1.9%
40 2
 
1.9%
50 5
4.7%
55 5
4.7%
60 6
5.6%
65 2
 
1.9%
70 2
 
1.9%
75 3
2.8%
ValueCountFrequency (%)
945 1
0.9%
880 1
0.9%
870 1
0.9%
830 1
0.9%
820 2
1.9%
815 1
0.9%
790 1
0.9%
750 1
0.9%
670 1
0.9%
575 1
0.9%

Turkey
Real number (ℝ)

HIGH CORRELATION 

Distinct63
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.37383
Minimum10
Maximum1240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:44.837511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q147.5
median145
Q3262.5
95-th percentile889
Maximum1240
Range1230
Interquartile range (IQR)215

Descriptive statistics

Standard deviation271.07116
Coefficient of variation (CV)1.1516623
Kurtosis2.793338
Mean235.37383
Median Absolute Deviation (MAD)105
Skewness1.8473721
Sum25185
Variance73479.576
MonotonicityNot monotonic
2024-02-03T15:35:45.157684image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 6
 
5.6%
30 6
 
5.6%
25 4
 
3.7%
35 3
 
2.8%
40 3
 
2.8%
290 3
 
2.8%
20 3
 
2.8%
180 3
 
2.8%
175 3
 
2.8%
130 3
 
2.8%
Other values (53) 70
65.4%
ValueCountFrequency (%)
10 1
 
0.9%
15 6
5.6%
20 3
2.8%
25 4
3.7%
30 6
5.6%
35 3
2.8%
40 3
2.8%
45 1
 
0.9%
50 2
 
1.9%
55 1
 
0.9%
ValueCountFrequency (%)
1240 1
0.9%
1095 1
0.9%
950 1
0.9%
935 1
0.9%
930 1
0.9%
895 1
0.9%
875 1
0.9%
870 1
0.9%
805 1
0.9%
720 1
0.9%

Ghana
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Sri_Lanka
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.971963
Minimum10
Maximum340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:45.457488image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q125
median35
Q380
95-th percentile195
Maximum340
Range330
Interquartile range (IQR)55

Descriptive statistics

Standard deviation61.757813
Coefficient of variation (CV)0.96538875
Kurtosis4.9103105
Mean63.971963
Median Absolute Deviation (MAD)20
Skewness2.1310899
Sum6845
Variance3814.0275
MonotonicityNot monotonic
2024-02-03T15:35:45.728116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
25 13
 
12.1%
35 12
 
11.2%
20 10
 
9.3%
30 9
 
8.4%
15 6
 
5.6%
40 6
 
5.6%
55 5
 
4.7%
65 4
 
3.7%
95 4
 
3.7%
100 4
 
3.7%
Other values (23) 34
31.8%
ValueCountFrequency (%)
10 4
 
3.7%
15 6
5.6%
20 10
9.3%
25 13
12.1%
30 9
8.4%
35 12
11.2%
40 6
5.6%
45 2
 
1.9%
50 1
 
0.9%
55 5
 
4.7%
ValueCountFrequency (%)
340 1
0.9%
265 1
0.9%
250 1
0.9%
240 1
0.9%
230 1
0.9%
195 2
1.9%
185 1
0.9%
165 1
0.9%
160 1
0.9%
155 1
0.9%

Afghanistan
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.383178
Minimum5
Maximum545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:46.005708image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11.5
Q135
median50
Q365
95-th percentile264
Maximum545
Range540
Interquartile range (IQR)30

Descriptive statistics

Standard deviation93.743794
Coefficient of variation (CV)1.2114234
Kurtosis9.8554803
Mean77.383178
Median Absolute Deviation (MAD)15
Skewness3.0171433
Sum8280
Variance8787.899
MonotonicityNot monotonic
2024-02-03T15:35:46.311882image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
55 13
 
12.1%
45 11
 
10.3%
35 9
 
8.4%
50 9
 
8.4%
65 8
 
7.5%
15 6
 
5.6%
20 5
 
4.7%
25 5
 
4.7%
60 4
 
3.7%
80 3
 
2.8%
Other values (25) 34
31.8%
ValueCountFrequency (%)
5 3
 
2.8%
10 3
 
2.8%
15 6
5.6%
20 5
4.7%
25 5
4.7%
30 3
 
2.8%
35 9
8.4%
40 2
 
1.9%
45 11
10.3%
50 9
8.4%
ValueCountFrequency (%)
545 1
0.9%
455 1
0.9%
445 1
0.9%
350 1
0.9%
330 1
0.9%
270 1
0.9%
250 1
0.9%
245 1
0.9%
200 1
0.9%
195 1
0.9%

Rwanda
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Romania
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

China_people's_Republic_of
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.08411
Minimum25
Maximum270
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:46.582380image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile41.5
Q167.5
median100
Q3135
95-th percentile217
Maximum270
Range245
Interquartile range (IQR)67.5

Descriptive statistics

Standard deviation51.632066
Coefficient of variation (CV)0.47770264
Kurtosis0.80257312
Mean108.08411
Median Absolute Deviation (MAD)35
Skewness0.90789135
Sum11565
Variance2665.8702
MonotonicityNot monotonic
2024-02-03T15:35:46.865915image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
75 5
 
4.7%
55 5
 
4.7%
65 5
 
4.7%
85 5
 
4.7%
115 5
 
4.7%
95 5
 
4.7%
110 5
 
4.7%
105 4
 
3.7%
90 4
 
3.7%
50 4
 
3.7%
Other values (26) 60
56.1%
ValueCountFrequency (%)
25 1
 
0.9%
35 3
2.8%
40 2
 
1.9%
45 4
3.7%
50 4
3.7%
55 5
4.7%
60 3
2.8%
65 5
4.7%
70 2
 
1.9%
75 5
4.7%
ValueCountFrequency (%)
270 2
1.9%
225 1
 
0.9%
220 3
2.8%
210 1
 
0.9%
200 1
 
0.9%
190 2
1.9%
180 1
 
0.9%
170 1
 
0.9%
165 1
 
0.9%
160 2
1.9%

Ethiopia
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Cameroon_Federal Republic of
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Chad_Republic of
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Burundi
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Algeria
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Senegal
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Syria
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Other_Countries
Real number (ℝ)

HIGH CORRELATION 

Distinct95
Distinct (%)88.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1280.3738
Minimum265
Maximum3070
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:47.146467image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum265
5-th percentile310
Q1730
median1255
Q31680
95-th percentile2676.5
Maximum3070
Range2805
Interquartile range (IQR)950

Descriptive statistics

Standard deviation693.69455
Coefficient of variation (CV)0.54179063
Kurtosis-0.17432609
Mean1280.3738
Median Absolute Deviation (MAD)475
Skewness0.52132178
Sum137000
Variance481212.12
MonotonicityNot monotonic
2024-02-03T15:35:47.456357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1245 3
 
2.8%
1395 2
 
1.9%
300 2
 
1.9%
310 2
 
1.9%
340 2
 
1.9%
1680 2
 
1.9%
1825 2
 
1.9%
1565 2
 
1.9%
380 2
 
1.9%
805 2
 
1.9%
Other values (85) 86
80.4%
ValueCountFrequency (%)
265 1
0.9%
290 1
0.9%
295 1
0.9%
300 2
1.9%
310 2
1.9%
340 2
1.9%
350 2
1.9%
365 1
0.9%
375 1
0.9%
380 2
1.9%
ValueCountFrequency (%)
3070 1
0.9%
2875 1
0.9%
2865 1
0.9%
2860 1
0.9%
2825 1
0.9%
2705 1
0.9%
2610 1
0.9%
2600 1
0.9%
2345 1
0.9%
2315 1
0.9%

Male
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2565.6075
Minimum525
Maximum10055
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:47.746098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum525
5-th percentile625
Q1862.5
median2205
Q33397.5
95-th percentile6613
Maximum10055
Range9530
Interquartile range (IQR)2535

Descriptive statistics

Standard deviation2092.793
Coefficient of variation (CV)0.8157105
Kurtosis2.4611818
Mean2565.6075
Median Absolute Deviation (MAD)1330
Skewness1.5473846
Sum274520
Variance4379782.4
MonotonicityNot monotonic
2024-02-03T15:35:48.038594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
625 3
 
2.8%
825 3
 
2.8%
2325 2
 
1.9%
2980 2
 
1.9%
2630 2
 
1.9%
735 2
 
1.9%
715 2
 
1.9%
730 2
 
1.9%
590 1
 
0.9%
740 1
 
0.9%
Other values (87) 87
81.3%
ValueCountFrequency (%)
525 1
 
0.9%
590 1
 
0.9%
595 1
 
0.9%
610 1
 
0.9%
620 1
 
0.9%
625 3
2.8%
630 1
 
0.9%
650 1
 
0.9%
655 1
 
0.9%
660 1
 
0.9%
ValueCountFrequency (%)
10055 1
0.9%
9990 1
0.9%
9060 1
0.9%
7275 1
0.9%
7030 1
0.9%
6640 1
0.9%
6550 1
0.9%
6425 1
0.9%
6130 1
0.9%
6040 1
0.9%

Female
Real number (ℝ)

HIGH CORRELATION 

Distinct96
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1891.729
Minimum365
Maximum6400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:48.333297image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum365
5-th percentile491.5
Q1665
median1805
Q32495
95-th percentile4263
Maximum6400
Range6035
Interquartile range (IQR)1830

Descriptive statistics

Standard deviation1370.214
Coefficient of variation (CV)0.72431834
Kurtosis1.2359434
Mean1891.729
Median Absolute Deviation (MAD)1080
Skewness1.1597208
Sum202415
Variance1877486.4
MonotonicityNot monotonic
2024-02-03T15:35:48.635883image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
515 4
 
3.7%
1855 3
 
2.8%
640 2
 
1.9%
500 2
 
1.9%
560 2
 
1.9%
1930 2
 
1.9%
1805 2
 
1.9%
1755 2
 
1.9%
550 1
 
0.9%
615 1
 
0.9%
Other values (86) 86
80.4%
ValueCountFrequency (%)
365 1
0.9%
430 1
0.9%
460 1
0.9%
480 1
0.9%
485 1
0.9%
490 1
0.9%
495 1
0.9%
500 2
1.9%
505 1
0.9%
510 1
0.9%
ValueCountFrequency (%)
6400 1
0.9%
6300 1
0.9%
5915 1
0.9%
5170 1
0.9%
4550 1
0.9%
4305 1
0.9%
4165 1
0.9%
4090 1
0.9%
3990 1
0.9%
3955 1
0.9%

Gender_not_stated
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size984.0 B
0
104 
5
 
2
20
 
1

Length

Max length2
Median length1
Mean length1.0093458
Min length1

Characters and Unicode

Total characters108
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 104
97.2%
5 2
 
1.9%
20 1
 
0.9%

Length

2024-02-03T15:35:48.916130image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-03T15:35:49.171019image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 104
97.2%
5 2
 
1.9%
20 1
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 105
97.2%
5 2
 
1.9%
2 1
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
97.2%
5 2
 
1.9%
2 1
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105
97.2%
5 2
 
1.9%
2 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
97.2%
5 2
 
1.9%
2 1
 
0.9%

Another_gender
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size984.0 B
0
106 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters107
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

Length

2024-02-03T15:35:49.435894image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-02-03T15:35:49.803470image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

Most occurring characters

ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 106
99.1%
5 1
 
0.9%

0_to_14_years_of_age
Real number (ℝ)

HIGH CORRELATION 

Distinct93
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean881.72897
Minimum110
Maximum2330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:50.234979image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile128
Q1307.5
median835
Q31345
95-th percentile1911.5
Maximum2330
Range2220
Interquartile range (IQR)1037.5

Descriptive statistics

Standard deviation600.31717
Coefficient of variation (CV)0.68084093
Kurtosis-0.83339118
Mean881.72897
Median Absolute Deviation (MAD)520
Skewness0.41879596
Sum94345
Variance360380.71
MonotonicityNot monotonic
2024-02-03T15:35:51.246493image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
145 4
 
3.7%
135 3
 
2.8%
225 2
 
1.9%
230 2
 
1.9%
1010 2
 
1.9%
125 2
 
1.9%
1055 2
 
1.9%
320 2
 
1.9%
1360 2
 
1.9%
120 2
 
1.9%
Other values (83) 84
78.5%
ValueCountFrequency (%)
110 1
 
0.9%
115 1
 
0.9%
120 2
1.9%
125 2
1.9%
135 3
2.8%
145 4
3.7%
170 1
 
0.9%
185 1
 
0.9%
200 2
1.9%
220 1
 
0.9%
ValueCountFrequency (%)
2330 1
0.9%
2180 1
0.9%
2170 1
0.9%
2150 1
0.9%
2010 1
0.9%
1925 1
0.9%
1880 1
0.9%
1785 1
0.9%
1765 1
0.9%
1760 1
0.9%

15_to_29_years_of_age
Real number (ℝ)

HIGH CORRELATION 

Distinct92
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1340.5607
Minimum315
Maximum5430
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:51.657580image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum315
5-th percentile365
Q1492.5
median955
Q31685
95-th percentile3772
Maximum5430
Range5115
Interquartile range (IQR)1192.5

Descriptive statistics

Standard deviation1161.3826
Coefficient of variation (CV)0.86634091
Kurtosis2.7862567
Mean1340.5607
Median Absolute Deviation (MAD)480
Skewness1.759126
Sum143440
Variance1348809.6
MonotonicityNot monotonic
2024-02-03T15:35:52.140003image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430 4
 
3.7%
365 3
 
2.8%
955 3
 
2.8%
475 3
 
2.8%
445 2
 
1.9%
795 2
 
1.9%
460 2
 
1.9%
515 2
 
1.9%
1185 2
 
1.9%
420 2
 
1.9%
Other values (82) 82
76.6%
ValueCountFrequency (%)
315 1
 
0.9%
325 1
 
0.9%
340 1
 
0.9%
345 1
 
0.9%
355 1
 
0.9%
365 3
2.8%
400 1
 
0.9%
405 1
 
0.9%
415 1
 
0.9%
420 2
1.9%
ValueCountFrequency (%)
5430 1
0.9%
5425 1
0.9%
5100 1
0.9%
4145 1
0.9%
3860 1
0.9%
3775 1
0.9%
3765 1
0.9%
3695 1
0.9%
3520 1
0.9%
3400 1
0.9%

30_to_44_years_of age
Real number (ℝ)

HIGH CORRELATION 

Distinct97
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1582.8972
Minimum270
Maximum6495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:52.438990image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile343
Q1500
median1440
Q32107.5
95-th percentile3944.5
Maximum6495
Range6225
Interquartile range (IQR)1607.5

Descriptive statistics

Standard deviation1307.0912
Coefficient of variation (CV)0.82575871
Kurtosis2.9149034
Mean1582.8972
Median Absolute Deviation (MAD)880
Skewness1.5767542
Sum169370
Variance1708487.3
MonotonicityNot monotonic
2024-02-03T15:35:52.772292image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
525 3
 
2.8%
390 2
 
1.9%
385 2
 
1.9%
1680 2
 
1.9%
435 2
 
1.9%
340 2
 
1.9%
560 2
 
1.9%
360 2
 
1.9%
1760 2
 
1.9%
375 1
 
0.9%
Other values (87) 87
81.3%
ValueCountFrequency (%)
270 1
0.9%
310 1
0.9%
325 1
0.9%
335 1
0.9%
340 2
1.9%
350 1
0.9%
360 2
1.9%
370 1
0.9%
375 1
0.9%
385 2
1.9%
ValueCountFrequency (%)
6495 1
0.9%
6310 1
0.9%
5745 1
0.9%
4615 1
0.9%
4500 1
0.9%
4060 1
0.9%
3675 1
0.9%
3660 1
0.9%
3600 1
0.9%
3400 1
0.9%

45_to_59 years_of_age
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean501.96262
Minimum100
Maximum1995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:53.095771image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile130
Q1172.5
median455
Q3725
95-th percentile1140.5
Maximum1995
Range1895
Interquartile range (IQR)552.5

Descriptive statistics

Standard deviation387.17089
Coefficient of variation (CV)0.7713142
Kurtosis3.1521709
Mean501.96262
Median Absolute Deviation (MAD)280
Skewness1.5634946
Sum53710
Variance149901.3
MonotonicityNot monotonic
2024-02-03T15:35:53.414511image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160 5
 
4.7%
170 5
 
4.7%
735 4
 
3.7%
725 3
 
2.8%
525 3
 
2.8%
120 3
 
2.8%
175 3
 
2.8%
455 2
 
1.9%
575 2
 
1.9%
510 2
 
1.9%
Other values (61) 75
70.1%
ValueCountFrequency (%)
100 1
 
0.9%
115 1
 
0.9%
120 3
2.8%
130 2
 
1.9%
135 2
 
1.9%
140 1
 
0.9%
145 2
 
1.9%
150 1
 
0.9%
155 2
 
1.9%
160 5
4.7%
ValueCountFrequency (%)
1995 1
0.9%
1985 1
0.9%
1620 1
0.9%
1435 1
0.9%
1340 1
0.9%
1145 1
0.9%
1130 1
0.9%
1090 1
0.9%
1045 1
0.9%
1010 1
0.9%

60_to_74 years_of age
Real number (ℝ)

HIGH CORRELATION 

Distinct40
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.15888
Minimum25
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:53.739927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40
Q170
median105
Q3152.5
95-th percentile250.5
Maximum360
Range335
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation68.520366
Coefficient of variation (CV)0.57503366
Kurtosis1.6167846
Mean119.15888
Median Absolute Deviation (MAD)40
Skewness1.2598643
Sum12750
Variance4695.0406
MonotonicityNot monotonic
2024-02-03T15:35:54.012315image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
105 9
 
8.4%
70 6
 
5.6%
85 6
 
5.6%
50 5
 
4.7%
200 5
 
4.7%
55 5
 
4.7%
125 5
 
4.7%
80 4
 
3.7%
140 4
 
3.7%
155 4
 
3.7%
Other values (30) 54
50.5%
ValueCountFrequency (%)
25 1
 
0.9%
35 4
3.7%
40 2
 
1.9%
45 1
 
0.9%
50 5
4.7%
55 5
4.7%
60 4
3.7%
65 3
2.8%
70 6
5.6%
75 4
3.7%
ValueCountFrequency (%)
360 1
 
0.9%
345 1
 
0.9%
300 1
 
0.9%
280 1
 
0.9%
270 1
 
0.9%
255 1
 
0.9%
240 3
2.8%
215 1
 
0.9%
205 1
 
0.9%
200 5
4.7%

75 years of age and above
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.560748
Minimum0
Maximum65
Zeros3
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size984.0 B
2024-02-03T15:35:54.285150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median20
Q330
95-th percentile48.5
Maximum65
Range65
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.481768
Coefficient of variation (CV)0.65570417
Kurtosis1.7389722
Mean20.560748
Median Absolute Deviation (MAD)10
Skewness1.2763196
Sum2200
Variance181.75807
MonotonicityNot monotonic
2024-02-03T15:35:54.512598image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10 27
25.2%
20 18
16.8%
15 17
15.9%
30 14
13.1%
25 8
 
7.5%
5 6
 
5.6%
0 3
 
2.8%
35 3
 
2.8%
45 3
 
2.8%
50 2
 
1.9%
Other values (4) 6
 
5.6%
ValueCountFrequency (%)
0 3
 
2.8%
5 6
 
5.6%
10 27
25.2%
15 17
15.9%
20 18
16.8%
25 8
 
7.5%
30 14
13.1%
35 3
 
2.8%
40 2
 
1.9%
45 3
 
2.8%
ValueCountFrequency (%)
65 2
 
1.9%
60 1
 
0.9%
55 1
 
0.9%
50 2
 
1.9%
45 3
 
2.8%
40 2
 
1.9%
35 3
 
2.8%
30 14
13.1%
25 8
7.5%
20 18
16.8%

Age not stated
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size984.0 B

Interactions

2024-02-03T15:35:23.297825image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:52.218064image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:58.575641image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:06.020728image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:12.341131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:19.847481image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:27.250421image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:33.677235image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:40.732352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
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2024-02-03T15:34:30.934812image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:38.388414image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:44.745213image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:51.971317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:00.016596image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:07.127722image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:14.809578image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:21.589450image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:29.444180image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:57.154342image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:04.616441image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:10.965502image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:18.378210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:25.174743image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:32.346139image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:38.732973image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:49.531153image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:57.067035image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:03.778876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:11.658133image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:23.398432image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:32.120759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:41.591240image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:50.466571image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:58.409901image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:06.763062image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:15.558431image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:24.410110image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:31.168066image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:38.605858image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:44.979759image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:52.196698image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:00.386216image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:07.380490image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:15.038965image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:21.825957image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:29.687150image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:57.391334image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:04.833117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:11.176193image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:18.598528image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:25.482850image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:32.540549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:39.083163image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:49.738328image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:57.297341image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:04.043756image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:11.870155image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:23.703313image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:32.563098image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:41.991739image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:50.669357image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:58.624239image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:07.248177image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:15.778909image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:24.675256image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:31.388920image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:38.825633image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:45.191959image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:52.415996image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:00.722783image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:07.632931image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:15.296851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:22.050807image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:29.905067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:57.605549image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:05.044430image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:11.403682image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:18.822433image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:25.844309image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:32.760025image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:39.424673image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:49.943063image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:57.521178image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:04.393343image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:12.072131image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:24.044101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:32.826262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:42.539262image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:50.891761image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:58.837206image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:07.533032image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:16.005116image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:24.881140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:31.653308image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:39.023640image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:45.403207image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:52.633385image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:01.087070image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:07.892657image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:15.512016image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:22.295228image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:30.154628image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:57.845160image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:05.290276image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:11.627010image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:19.076888image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:26.239067image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:32.981591image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:39.797532image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:50.169826image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:57.771561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:04.762618image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:12.305021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:24.474182image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:33.087089image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:43.172686image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:51.118772image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:59.072407image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:07.784744image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:16.239362image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:25.257623image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:31.976799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:39.248885image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:45.630574image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:52.851140image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:01.376634image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:08.135867image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:15.760117image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:22.564553image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:30.409366image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:58.085860image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:05.529576image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:11.880047image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:19.360594image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:26.575779image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:33.219452image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:40.141352image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:50.436526image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:58.022559image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:05.124486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:12.553734image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:24.717245image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:33.427800image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:43.625799image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:51.358093image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:59.348058image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:08.123550image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:16.475851image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:25.513317image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:32.267091image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:39.477039image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:45.873539image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:53.096985image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:01.620933image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:08.402299image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:16.015115image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:22.826230image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:30.658745image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:31:58.342887image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:05.795231image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:12.107465image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:19.602056image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:26.924561image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:33.436876image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:40.495785image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:50.744568image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:32:58.263486image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:05.430396image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:12.780694image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:25.111904image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:33.829061image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:44.298021image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:51.580426image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:33:59.581210image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:08.510288image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:16.711496image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:25.739492image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:32.508674image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:39.693495image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:46.192658image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:34:53.347101image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:01.844925image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:08.646838image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:16.286927image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
2024-02-03T15:35:23.047855image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/

Correlations

2024-02-03T15:35:54.815243image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
0_to_14_years_of_age15_to_29_years_of_age30_to_44_years_of age45_to_59 years_of_age60_to_74 years_of age75 years of age and aboveAfghanistanAirportAlbertaAnother_genderBangladeshBorderBritish_ColumbiaChina_people's_Republic_ofColombiaFemaleGender_not_statedHaitiIndiaInlandIranMaleMexicoNigeriaOntarioOther_CountriesPakistanQuebecSri_LankaTurkey
0_to_14_years_of_age1.0000.9210.9670.9250.8420.6390.7360.8870.8920.3990.8470.8720.8250.4380.8190.9730.3570.8050.6840.8820.6040.9570.7290.8100.9140.9600.9110.9310.6990.825
15_to_29_years_of_age0.9211.0000.9760.9810.9380.7690.7380.9300.9210.5040.8830.8710.9330.3770.8990.9750.4840.8400.7970.9040.7750.9880.8770.6810.9510.9070.9080.9510.8390.888
30_to_44_years_of age0.9670.9761.0000.9720.9020.7290.7570.9310.9180.6510.8840.8820.8930.4380.8610.9950.5810.8220.7530.9070.7030.9940.8130.7460.9570.9430.9290.9510.7820.859
45_to_59 years_of_age0.9250.9810.9721.0000.9460.7870.6970.9120.9260.6440.8990.8650.9410.3870.8960.9760.5690.8210.8210.9120.7950.9800.8780.7060.9480.9060.9160.9560.8310.865
60_to_74 years_of age0.8420.9380.9020.9461.0000.8530.6460.8690.8890.6440.8500.8170.9270.2800.9080.9100.5780.8090.8290.8540.8310.9220.9080.6200.8820.8300.8530.9230.8460.857
75 years of age and above0.6390.7690.7290.7870.8531.0000.5050.6950.7130.4940.6970.6560.8140.1590.7870.7230.4600.6780.7330.6530.7700.7490.8340.3570.7070.6380.6860.7500.7580.726
Afghanistan0.7360.7380.7570.6970.6460.5051.0000.7510.6780.6580.6040.6630.5820.2720.5990.7550.5520.6460.3490.6060.3540.7570.5090.4500.7320.7430.6960.6720.4610.729
Airport0.8870.9300.9310.9120.8690.6950.7511.0000.8770.9660.8670.8680.8160.4650.8810.9250.7860.7330.7270.7940.6880.9320.8160.6630.9280.8520.8980.8660.7860.823
Alberta0.8920.9210.9180.9260.8890.7130.6780.8771.0000.6580.8590.8060.8780.4320.8240.9290.5640.7460.7750.8860.7280.9270.8100.7130.9250.8820.9040.8820.7640.816
Another_gender0.3990.5040.6510.6440.6440.4940.6580.9660.6581.0000.1670.0470.1670.1540.1200.1640.9950.1010.1670.1670.1350.1640.1540.1670.1670.1600.1540.1380.1670.113
Bangladesh0.8470.8830.8840.8990.8500.6970.6040.8670.8590.1671.0000.7980.8490.5150.8520.8850.8400.6790.7930.8430.7350.8860.8030.7100.9070.8310.8990.8290.7900.746
Border0.8720.8710.8820.8650.8170.6560.6630.8680.8060.0470.7981.0000.7650.3240.8860.8790.4410.7660.6420.6900.6390.8870.7360.6270.8410.8410.8410.8750.7060.843
British_Columbia0.8250.9330.8930.9410.9270.8140.5820.8160.8780.1670.8490.7651.0000.3000.8640.8980.7530.7940.8660.8940.8750.9080.9110.6020.8780.8230.8570.9050.8820.812
China_people's_Republic_of0.4380.3770.4380.3870.2800.1590.2720.4650.4320.1540.5150.3240.3001.0000.2640.4220.319-0.0060.3810.4580.2460.4130.1790.5800.5560.4630.5540.2350.2700.134
Colombia0.8190.8990.8610.8960.9080.7870.5990.8810.8240.1200.8520.8860.8640.2641.0000.8630.3020.7710.7670.7420.8050.8780.8880.5370.8390.7820.8220.8820.8310.858
Female0.9730.9750.9950.9760.9100.7230.7550.9250.9290.1640.8850.8790.8980.4220.8631.0000.4550.8250.7580.9110.7060.9920.8170.7550.9540.9470.9260.9550.7790.860
Gender_not_stated0.3570.4840.5810.5690.5780.4600.5520.7860.5640.9950.8400.4410.7530.3190.3020.4551.0000.2090.2390.2240.1770.2700.2620.2060.2510.2660.2550.2600.2590.215
Haiti0.8050.8400.8220.8210.8090.6780.6460.7330.7460.1010.6790.7660.794-0.0060.7710.8250.2091.0000.5780.7450.5800.8320.7580.5210.7300.7910.7210.8930.6850.861
India0.6840.7970.7530.8210.8290.7330.3490.7270.7750.1670.7930.6420.8660.3810.7670.7580.2390.5781.0000.8000.9050.7690.8930.5840.7540.6460.7570.7880.8850.584
Inland0.8820.9040.9070.9120.8540.6530.6060.7940.8860.1670.8430.6900.8940.4580.7420.9110.2240.7450.8001.0000.7150.9070.7600.8100.8980.8860.8730.8740.7460.747
Iran0.6040.7750.7030.7950.8310.7700.3540.6880.7280.1350.7350.6390.8750.2460.8050.7060.1770.5800.9050.7151.0000.7260.9140.3890.7170.5820.6770.7490.8920.636
Male0.9570.9880.9940.9800.9220.7490.7570.9320.9270.1640.8860.8870.9080.4130.8780.9920.2700.8320.7690.9070.7261.0000.8350.7290.9570.9390.9260.9580.7960.878
Mexico0.7290.8770.8130.8780.9080.8340.5090.8160.8100.1540.8030.7360.9110.1790.8880.8170.2620.7580.8930.7600.9140.8351.0000.4530.7850.6800.7640.8710.9140.763
Nigeria0.8100.6810.7460.7060.6200.3570.4500.6630.7130.1670.7100.6270.6020.5800.5370.7550.2060.5210.5840.8100.3890.7290.4531.0000.7320.7950.7530.6880.4740.532
Ontario0.9140.9510.9570.9480.8820.7070.7320.9280.9250.1670.9070.8410.8780.5560.8390.9540.2510.7300.7540.8980.7170.9570.7850.7321.0000.9230.9420.8700.7790.837
Other_Countries0.9600.9070.9430.9060.8300.6380.7430.8520.8820.1600.8310.8410.8230.4630.7820.9470.2660.7910.6460.8860.5820.9390.6800.7950.9231.0000.9230.8920.6780.826
Pakistan0.9110.9080.9290.9160.8530.6860.6960.8980.9040.1540.8990.8410.8570.5540.8220.9260.2550.7210.7570.8730.6770.9260.7640.7530.9420.9231.0000.8620.7640.776
Quebec0.9310.9510.9510.9560.9230.7500.6720.8660.8820.1380.8290.8750.9050.2350.8820.9550.2600.8930.7880.8740.7490.9580.8710.6880.8700.8920.8621.0000.8110.876
Sri_Lanka0.6990.8390.7820.8310.8460.7580.4610.7860.7640.1670.7900.7060.8820.2700.8310.7790.2590.6850.8850.7460.8920.7960.9140.4740.7790.6780.7640.8111.0000.709
Turkey0.8250.8880.8590.8650.8570.7260.7290.8230.8160.1130.7460.8430.8120.1340.8580.8600.2150.8610.5840.7470.6360.8780.7630.5320.8370.8260.7760.8760.7091.000

Missing values

2024-02-03T15:35:31.212111image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
A simple visualization of nullity by column.
2024-02-03T15:35:31.881870image/svg+xmlMatplotlib v3.7.1, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Month_YearAirportBorderInlandOther_OfficesNewfoundland_and_LabradorPrince_Edward_IslandNova_ScotiaNew_BrunswickQuebecOntarioManitobaSaskatchewanAlbertaBritish_ColumbiaYukonNorthwest_TerritoriesNunavutOutside_CanadaMexicoNigeriaIndiaBangladeshKenyaUgandaPakistanIranCongo_ Democratic_Republic_of_theHaitiColombiaTurkeyGhanaSri_LankaAfghanistanRwandaRomaniaChina_people's_Republic_ofEthiopiaCameroon_Federal Republic ofChad_Republic ofBurundiAlgeriaSenegalSyriaOther_CountriesMaleFemaleGender_not_statedAnother_gender0_to_14_years_of_age15_to_29_years_of_age30_to_44_years_of age45_to_59 years_of_age60_to_74 years_of age75 years of age and aboveAge not stated
02015-01-0185240845--0000180875--5455500005952025--10501025305015--2545501452515--1055455006505100022536539013035100
12015-02-012052506900000--195820506060000054010205--80530255025102035--013015151510----355556255150023034540512025100
22015-03-01205260660--00--02008101005060000054515155--65151010651051530--014010155----10206006105150023032538512040100
32015-04-01185240700000--02107952504550000010552020----50520357515102020--0150202010----515535620500002253653701203500
42015-05-01225305640000100205835200405500005502515----751525206015102520----1352015510----355756555000022035540013535100
52015-06-01250335740000----250935205655000005803025105551015152515102025501154525--305--706857355800028040042015040100
62015-07-01155410800000--029089025--7085000010655015----10515402050155203550953020045--5556606956550030036547013550100
72015-08-01130455720000502958055058065000015653015--555253535753552020--0110152054010--55610730560002904054351153550
82015-09-011704651010--00--0340109035010085000010903525--201051020357535101555100120252552510565815875780004004805251706000
92015-10-0118048080500010030095540--858000001560302055901020355515102065--010025201060----707208256250031546046016555100
Month_YearAirportBorderInlandOther_OfficesNewfoundland_and_LabradorPrince_Edward_IslandNova_ScotiaNew_BrunswickQuebecOntarioManitobaSaskatchewanAlbertaBritish_ColumbiaYukonNorthwest_TerritoriesNunavutOutside_CanadaMexicoNigeriaIndiaBangladeshKenyaUgandaPakistanIranCongo_ Democratic_Republic_of_theHaitiColombiaTurkeyGhanaSri_LankaAfghanistanRwandaRomaniaChina_people's_Republic_ofEthiopiaCameroon_Federal Republic ofChad_Republic ofBurundiAlgeriaSenegalSyriaOther_CountriesMaleFemaleGender_not_statedAnother_gender0_to_14_years_of_age15_to_29_years_of_age30_to_44_years_of age45_to_59 years_of_age60_to_74 years_of age75 years of age and aboveAge not stated
972023-02-0114904980331515--020106445261515--22047000001445235530954550305550220570790805401604558095957570555035404028606040375000171535203400905200300
982023-03-01159550453455--00----62453050405245500000015701956401055540340505225640880895551954456513510570608540203595261061303955001785340036001045200350
992023-04-01228515952985----05--2970326520--235360000019451257459575351603701252103155652513014550951109060253520356012254055280000101025402320735195300
1002023-05-0127501650440055--101536104355251027050500--020802657901802106526548512527544546550230250551301252251204540451908015655290350000121032952975995240450
1012023-06-01435011954980--5--1510446049654515420595000022904308202356951653404251853352702558018517095130145310295110406033095204064254090001310369540601130240450
1022023-07-01401014106175------25549155510655495560000--2050530100030069028557048531540531029012519519512095150265220145659030585230570304550001545386045001340270450
1032023-08-01330013157830--00151549306010552069571000----242567090536046046563549536045531533014024020018590180285225180130110145155231572755170001880414546151435300500
1042023-09-015435183077205--01520649568456520755760--------249511351110420590770625465560490395415295250245210145200220195180220150240150282590605915002170510057451620280650
1052023-10-01557515609345--10--20256775779513030880815--000241018751220590740750625490555465475510330265270265225190215210155255185210130287510055640050215054306495199534565--
1062023-11-014805145510075--10--2025594083551452590091500002115194513208508205955455054654604504503603403302352202202201951751751751601452865999063002052180542563101985360600